This paper presents an optimal power splitting and beamforming design for co-located simultaneous wireless information and power transfer (SWIPT) users in Dynamic Metasurface Antenna (DMA)-aided multiuser multiple-input single-output (MISO) systems. The objective is to minimize transmit power while meeting users signal-to-interference-plus-noise ratio (SINR) and energy harvesting (EH) requirements. The problem is solved via an alternating optimization framework based on semidefinite programming (SDP), where metasurface tunability follows Lorentzian-constrained holography (LCH). In contrast to traditional beamforming architectures, DMA-assisted architectures reduce the need for RF chains and phase shifters but require optimization under the Lorentzian constraint limiting the amplitude and phase optimizations. Hence, the proposed method integrates several LCH schemes, including the recently proposed adaptive-radius LCH (ARLCH), and evaluates nonlinear EH models and circuit noise effects. Simulation results show that the proposed design significantly reduces transmit power compared with baseline methods, highlighting the efficiency of ARLCH and optimal power splitting in DMA-assisted SWIPT systems.

翻译：本文针对动态超表面天线(DMA)辅助的多用户多输入单输出(MISO)系统中的共址同步无线信息与功率传输(SWIPT)用户，提出了一种最优功率分割与波束成形设计方案。目标是在满足用户信干噪比(SINR)与能量采集(EH)需求的前提下最小化发射功率。基于半定规划(SDP)的交替优化框架求解该问题，其中超表面可调性遵循洛伦兹约束全息(LCH)特性。与传统波束成形架构相比，DMA辅助架构减少了射频链路与移相器的需求，但需在限制幅度与相位优化的洛伦兹约束下进行优化。因此，所提方法整合了多种LCH方案（包括最新提出的自适应半径LCH(ARLCH)），并评估了非线性EH模型与电路噪声效应。仿真结果表明，与基准方法相比，所提设计显著降低了发射功率，凸显了ARLCH与最优功率分割在DMA辅助SWIPT系统中的高效性。